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New taxon list #783

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Nov 10, 2023
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48 changes: 33 additions & 15 deletions R/build_update_taxon_list.R
Original file line number Diff line number Diff line change
Expand Up @@ -86,11 +86,11 @@ build_update_taxon_list <- function(austraits, taxon_list, replace = FALSE) {
"aligned_name" = "aligned_name",
"taxonomic_dataset" = "taxonomic_dataset",
"taxon_id" = "taxon_ID",
"scientific_name_id" = "scientific_name_ID"
"scientific_name_id" = "scientific_name_ID",
"taxon_id_genus" = "taxon_ID_genus"
))) %>%
# In AusTraits we also want to document identifiers for `aligned_names`, not just for the final `taxon_name`
# We do this by rejoining columns from APC, but now to the aligned_names, not the taxon_names
# XX These are currently all prefixed with "cleaned"
dplyr::left_join(by = c("aligned_name", "taxon_name"),
resources$APC %>%
dplyr::mutate(
Expand All @@ -109,6 +109,18 @@ build_update_taxon_list <- function(austraits, taxon_list, replace = FALSE) {
# For taxon names that are aligned at the genus- or family-level, we need to replace the taxon & scientific name identifiers
# with those for the relevant genus or family.
dplyr::mutate(
# Genus filled in for all names that have a taxonomic of genus or more detailed
genus = ifelse(
!.data$taxon_rank %in% c("family", "order", "class", "phylum", "kingdom"),
ifelse(stringr::word(.data$taxon_name, 1) == "x",
stringr::word(.data$taxon_name, start = 1, end = 2),
stringr::word(.data$taxon_name, 1)),
NA),
taxon_rank = ifelse(
taxonomic_status == "unknown" & aligned_name %in% austraits$taxonomic_updates$aligned_name,
austraits$taxonomic_updates$taxonomic_resolution[match(aligned_name, austraits$taxonomic_updates$aligned_name)],
taxon_rank
),
taxon_rank = ifelse(
taxon_rank %in% c("genus", "family"),
taxon_rank,
Expand All @@ -117,7 +129,18 @@ build_update_taxon_list <- function(austraits, taxon_list, replace = FALSE) {
resources$`APC list (accepted)`$taxon_rank[match(taxon_id, resources$`APC list (accepted)`$taxon_ID)],
taxon_rank
)),
taxon_id_family = resources$family_accepted$taxon_ID[match(updated$family, resources$family_accepted$canonical_name)],
# For taxon names that are valid names (per herbarium standards) or repeatedly reported invasives, but not in APC/APNI, map on families, genus_ids - APCalign doesn't do this
taxon_id_genus = ifelse(
taxonomic_status == "unknown" & aligned_name %in% austraits$taxonomic_updates$aligned_name,
resources$genera_all$taxon_ID[match(genus, resources$genera_all$genus)],
taxon_id_genus
),
family = ifelse(
taxonomic_status == "unknown" & aligned_name %in% austraits$taxonomic_updates$aligned_name,
resources$APC$family[match(genus, resources$APC$genus)],
family
),
taxon_id_family = resources$family_accepted$taxon_ID[match(family, resources$family_accepted$canonical_name)],
taxon_id = ifelse(taxon_rank %in% c("genus", "family"), NA, taxon_id),
scientific_name_id = ifelse(taxonomic_dataset == "APC", resources$`APC list (accepted)`$scientific_name_ID[match(scientific_name, resources$`APC list (accepted)`$scientific_name)], scientific_name_id),
scientific_name_id = ifelse(taxon_rank %in% c("genus", "family"), NA, scientific_name_id)
Expand All @@ -143,14 +166,7 @@ build_update_taxon_list <- function(austraits, taxon_list, replace = FALSE) {
stringr::str_split_fixed(.data$taxon_name, "\\[", 2)[, 1] %>% stringr::str_trim(), NA),
binomial = ifelse(.data$taxon_rank %in% c("subspecies", "form", "variety", "series"),
stringr::word(.data$taxon_name, start = 1, end = 2), .data$binomial),
binomial = stringr::str_trim(.data$binomial),
# Genus filled in for all names that have a taxonomic of genus or more detailed
genus = ifelse(
!.data$taxon_rank %in% c("family", "order", "class", "phylum", "kingdom"),
ifelse(stringr::word(.data$taxon_name, 1) == "x",
stringr::word(.data$taxon_name, start = 1, end = 2),
stringr::word(.data$taxon_name, 1)),
NA)
binomial = stringr::str_trim(.data$binomial)
) %>%
# Add in `establishment_means`, indicating if a taxon is native, naturalised or both
# This code is based on the exact syntax for taxon_distribution in APC;
Expand All @@ -165,9 +181,11 @@ build_update_taxon_list <- function(austraits, taxon_list, replace = FALSE) {
establishment_means = ifelse(.data$taxon_rank %in% higher_ranks, NA, .data$establishment_means),
taxon_distribution = ifelse(.data$taxon_rank %in% higher_ranks, NA, .data$taxon_distribution)
) %>%
dplyr::select(-dplyr::all_of(c("count_naturalised", "count_n_and_n", "count_states", "accepted_name")))

# New taxon list
dplyr::select(dplyr::all_of(c("aligned_name", "taxon_name", "taxon_rank", "taxonomic_status", "taxonomic_dataset", "taxon_name_alternatives",
"genus", "family", "binomial", "trinomial", "taxon_distribution", "establishment_means", "scientific_name",
"taxon_id", "taxon_id_genus", "taxon_id_family", "scientific_name_id", "aligned_name_taxon_id", "aligned_name_taxonomic_status")))

# New taxon list

if (replace == TRUE) {
taxon_list_replace <- taxon_list_new %>%
Expand All @@ -185,5 +203,5 @@ build_update_taxon_list <- function(austraits, taxon_list, replace = FALSE) {
}

taxon_list_replace %>%
write_csv("config/taxon_list.csv")
readr::write_csv("config/taxon_list.csv", na = "")
}
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